Multi objective optimization of the decentralized control system of building structures
PAN Zhaodong1,TAN Ping2,ZHOU Fulin2
Author information+
1.Department of Civil Engineering, Dongguan University of Technology, Dongguan 523808, China;
2. Earthquake Engineering Research & Test Center, Guangzhou University, Guangzhou 510405, China
A new multi objective optimization design method was proposed for decentralized control systems based on the structural controllability index, the particle swarm-differential evolution multi-objective hybrid swarm optimization (MOHO) algorithm and the structure stochastic response solutions of the decentralized control system.The subsystem division, parameters of controller, number and allocation of actuators were optimized.The optimal installation floors of control devices were determined through the structural controllability index.The number of actuators and controller gain for each subsystem were optimized through the multi-objective hybrid swarm optimization algorithm.Two indexes that reflect the structural vibration control effect and control strategy performance were used as the optimization objective function for each subsystem.A 12 story frame structure was used as a numerical example to validate the effectiveness of the proposed optimization design method.Various decentralized control schemes have been optimized, using the method and have been verified through the time-history analysis.The results show that the optimization method is stable and effective, and the optimal decentralized control system is more efficient than the centralized control system.
PAN Zhaodong1,TAN Ping2,ZHOU Fulin2.
Multi objective optimization of the decentralized control system of building structures[J]. Journal of Vibration and Shock, 2018, 37(22): 92-97
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